Applied Deep Learning & Neural Network: Practical AI Mastery
Embark on a Journey to AI Mastery with Practical Deep Learning and Neural Network Expertise
4.05 (10 reviews)
4,707
students
11 hours
content
Mar 2024
last update
$19.99
regular price
What you will learn
Grasp Fundamental Concepts: Understand the foundational principles of machine learning, delve into popular methods, and explore the core ideas behind DL
Hands-on Coding Experience: Gain practical coding skills using platforms like Jupyter Notebooks, Google Colab, and PyTorch, applying theoretical knowledge
Neural Network Proficiency: Develop a deep understanding of neural networks, their structures, and applications, laying the groundwork for advanced topics
Transfer Learning Applications: Explore transfer learning, applying pre-trained models to new tasks, and work with datasets like CIFAR-10
Text-Based Applications: Extend skills to text classification and generation, harnessing the power of convolutional neural networks, transformer architecture
Text Translation and Beyond: Master text translation using encoder-decoder architectures and explore diverse applications, including tabular data prediction
Real-World Project Implementation: Apply acquired knowledge to real-world projects, such as image classification and text translation, honing skills
Practical Recommendations: Benefit from insights into best practices, recommendations, and efficient learning strategies, ensuring a productive understanding
By the end of the course, students will possess the practical skills and theoretical knowledge necessary to navigate the dynamic landscape of deep learning
5758216
udemy ID
1/11/2024
course created date
1/15/2024
course indexed date
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